The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

The projected rise in wireless communication traffic has necessitated the advancement of
energy‐efficient (EE) techniques for the design of wireless communication systems, given …

This paper applies machine learning to optimize the transmission policies of cognitive radio
inspired non-orthogonal multiple access (CR-NOMA) networks, where time-division multiple …

Indoor localization is of pivotal significance for a wide variety of services in the context of the
Internet of Things (IoT). Both ranging-based and fingerprint-based localization techniques …

Fingerprint-based indoor localization holds great potential for the Internet of Things. Despite
numerous studies focusing on its algorithmic and practical aspects, a notable gap exists in …

The Internet of Things (IoT) has gradually changed the way of people's lives due to its ability
of connecting everything together, and meanwhile the accurate location sensing plays a …

WiFi fingerprint positioning has been widely used in the indoor positioning field. The
weighed K-nearest neighbor (WKNN) algorithm is one of the most widely used deterministic …

WiFi fingerprint-based localization has been intensive studies as a promising technology of
ubiquitous location-based services. Two main concerns for its wide spread applications are …

In recent years, decimeter-level accuracy in WiFi indoor localization has become attainable
within controlled environments. However, existing methods encounter challenges in …

Transfer learning algorithms (TLAs) are often used to solve the distribution discrepancy
issue in fingerprint-based indoor localization. However, existing TLAs cannot react well to …